{"created":"2025-01-19T01:47:21.885058+00:00","updated":"2025-01-19T07:22:56.306195+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00242262","sets":["1164:4619:11919:11920"]},"path":["11920"],"owner":"44499","recid":"242262","title":["拡散モデルによる画像とクラスの共起学習"],"pubdate":{"attribute_name":"公開日","attribute_value":"2025-01-14"},"_buckets":{"deposit":"99f5f272-d580-4e68-95b4-9648460da628"},"_deposit":{"id":"242262","pid":{"type":"depid","value":"242262","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"拡散モデルによる画像とクラスの共起学習","author_link":["668727","668728","668726"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"拡散モデルによる画像とクラスの共起学習"}]},"item_type_id":"4","publish_date":"2025-01-14","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"九州大学"},{"subitem_text_value":"九州大学"},{"subitem_text_value":"九州大学"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/242262/files/IPSJ-CVIM25240036.pdf","label":"IPSJ-CVIM25240036.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CVIM25240036.pdf","filesize":[{"value":"3.4 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"20"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"6375b4b1-602f-48e9-bd94-c6d7adfe5fe5","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Institute of Electronics, Information and Communication Engineers This SIG report is only available to those in membership of the SIG."}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"江口, 達大"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"竹崎, 隼平"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"備瀬, 竜馬"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11131797","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8701","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本研究では拡散モデルによる画像とクラスの共起を学習することを目的とする.ここでの共起とは,画像とクラスが一体化したデータを生成することである.画像とクラスの共起を獲得するために,我々は画像に対してクラスラベルを埋め込む手法を提案する.このクラスラベルが明示的に存在する画像を拡散モデルによって学習させることで,画像とクラスが共起した生成を行う.さらに,画像とクラスが共起を用いて,拡散モデルの特有の生成過程を利用した新たなクラス分類手法を提案する.クラス分類の実験により,本手法による画像とクラスの共起の獲得を検証し,共起を利用したクラス分類手法の有効性を確認した.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告コンピュータビジョンとイメージメディア(CVIM)"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2025-01-14","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"36","bibliographicVolumeNumber":"2025-CVIM-240"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":242262,"links":{}}